A novel prediction-based directional asymmetric search algorithm for fast block-matching motion estimation

  • Authors:

  • Chung-Ming Kuo;Yu-Hsin Kuan;Chaur-Heh Hsieh;Yi-Hui Lee

  • Affiliations:

  • Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan;Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan;Department of Computer and Communication Engineering, Ming Chung University, Taoyuan, Taiwan;Department of Information Engineering, I-Shou University, Kaohsiung, Taiwan

  • Venue:
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Year:
  • 2009

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Abstract

This paper proposes a very fast block-matching motion estimation algorithm for video compression. This method uses a new concept involving a very compact center-biased characteristic in developing directional asymmetric search patterns, which we refer to as directional asymmetric search (DAS). The initial pattern of the DAS is a compact cross pattern containing only five initial search points. The DAS utilizes error information (block distortions) of the search patterns to determine the search direction, and then asymmetric search patterns are used in the subsequent steps accordingly. Furthermore, a prediction scheme and a best match prejudgment scheme are incorporated to favor fast motion and to benefit stationary and quasi-stationary blocks, respectively. Therefore, the proposed method significantly reduces the number of search points for locating a motion vector. Compared to conventional fast algorithms, the proposed method has the fastest search speed and most satisfactory PSNR values for all test sequences.